Results 191 to 200 of about 52,272 (265)

Weed Segmentation in Soybean Fields and Variable-Rate Herbicide Prescription Map Generation Based on UAV Imagery and Improved YOLOv11-seg Model. [PDF]

Front Plant Sci
Yue Y, Zhao A.
europepmc   +1 more source

Plant species are more important to bacterial community composition than seeding ratio in a pea‐canola intercropping system

PLANTS, PEOPLE, PLANET, EarlyView.
Demand for agricultural land has increased due to rising demand for food, potentially leading to expansion into previously untouched habitats, which threatens refugia of native plants. We aimed to provide insight into how variation in seeding ratio may impact soil bacterial communities in a pea‐canola intercropping system, potentially altering crop ...
Janice M. Parks, Braeden J. Stiffler, Maren L. Friesen   +2 more
wiley   +1 more source

Characterization of black oat root exudates in the presence of interspecific weed species and intraspecific neighbors, and their effects on root traits. [PDF]

Front Plant Sci
Eroğlu ÇG, Bennett AA, Steininger-Mairinger T, Hann S, Rueda Ayala VP, Wirth J, Gfeller A.   +6 more
europepmc   +1 more source

From settler gardens to digital naturalists: human aesthetic preferences and land use changes facilitate the biogeographical expansion of a wild plant–virus interaction

PLANTS, PEOPLE, PLANET, EarlyView.
Anthropogenic facilitation of wild plants based on aesthetic preferences for particular traits can change the biogeography and ecology of natural communities. We use a mixed‐methods socioecological approach to characterize the ways in which humans interact with a common, widely distributed plant and a generalist viral symbiont that induces an ...
Elizabeth M. Lombardi, Jasmine S. Peters, Juan Pablo Jordán, Alison G. Power   +3 more
wiley   +1 more source

Enhancing soybean tolerance to pre-emergent herbicides via biochar seed coating for eco-safe food systems. [PDF]

Front Plant Sci
Arshad MA, Arshad MA, Abbas RN, Baloch R, Ahmad A, Zulfiqar U, Haider FU, El-Beltagi HS, Alqahtani MD, Prasad PVV.   +9 more
europepmc   +1 more source

Advancing Sclerotinia risk forecasting for winter rapeseed in Germany: integrating crop phenology and disease development into a decision support system

Pest Management Science, EarlyView.
Integrating crop phenology and sclerotia germination models into SkleroPro improved Sclerotinia risk prediction accuracy from 34% to 66%, optimizing fungicide timing and supporting sustainable winter rapeseed production. Abstract BACKGROUND Sclerotinia stem rot, caused by Sclerotinia sclerotiorum, threatens winter rapeseed (Brassica napus) production ...
Vera Krause, Nazanin Zamani‐Noor, Lena Müller, Hella Kehlenbeck, Anto Raja Dominic   +4 more
wiley   +1 more source

Sensitivity of Irish Pyrenopeziza brassicae populations to methyl benzimidazole carbamate (MBC), quinone outside inhibitor (QoI) and succinate dehydrogenase inhibitor (SDHI) fungicides

Pest Management Science, EarlyView.
For three collections of Irish Pyrenopeziza brassicae populations fungicide sensitivity status to methyl benzimidazole carbamate (MBC), quinone outside inhibitor (QoI) and succinate dehydrogenase inhibitor (SDHI) fungicides was determined using sensitivity screening in vitro. Molecular mechanisms of insensitivity have been identified for MBC and QoI in
Diana E Bucur, Yong‐Ju Huang, Bruce DL Fitt, Steven Kildea   +3 more
wiley   +1 more source

Deep learning-based approaches for weed detection in crops. [PDF]

Front Plant Sci
Zhao H, Wang Y.
europepmc   +1 more source

RNA degradomics and proteomics reveal the mechanism of dsProsβ1‐mediated proteasome targeting in Psylliodes chrysocephala

Pest Management Science, EarlyView.
RNA degradomics revealed dsProsβ1‐derived siRNA‐mediated mRNA cleavage events, mainly at uracil‐guanine and adenine‐adenine pairs. Proteasome inhibition via dsProsβ1 increased mitochondrial and cytoskeletal proteins while reducing translation‐related and mRNA‐binding proteins.
Doga Cedden, Gözde Güney, Michael Rostás, Stefan Scholten   +3 more
wiley   +1 more source

Fast Forward the Future: What Are the Key Drivers in Intelligent Sensing for Agriculture? [PDF]

Plants (Basel)
Moreno H.
europepmc   +1 more source